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SUMMARY:The Mechanics of Bioinspired Artificial Intelligence - Prof Marku
 s J. Buehler\, McAfee Professor of Engineering\, MIT
DTSTART:20210310T163000Z
DTEND:20210310T173000Z
UID:TALK157423@talks.cam.ac.uk
CONTACT:Hilde Hambro
DESCRIPTION:Nature produces a variety of materials with many functions\, o
 ften out of simple and abundant materials\, and at low energy. Such system
 s - examples of which include silk\, bone\, nacre or diatoms - provide bro
 ad inspiration for engineering. Here we explore the translation of biologi
 cal composites to engineering applications\, using a variety of tools incl
 uding molecular modeling\, AI and machine learning\, and experimental synt
 hesis and characterization. We review a series of studies focused on the m
 echanical behavior of materials\, especially fracture\, and how these phen
 omena can be modeled using a combination of molecular dynamics and machine
  learning. We also present various case studies of material optimization u
 sing genetic algorithms\, applied to 3D printed composites\, protein desig
 n\, and a translation of protein folding to music and back. 
LOCATION:Zoom Meeting ID: 819 1682 8857
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